A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work

Ralf Herbrich, Thore Graepel. A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work. In Todd K. Leen, Thomas G. Dietterich, Volker Tresp, editors, Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA. pages 224-230, MIT Press, 2000.

@inproceedings{HerbrichG00,
  title = {A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work},
  author = {Ralf Herbrich and Thore Graepel},
  year = {2000},
  researchr = {https://researchr.org/publication/HerbrichG00},
  cites = {0},
  citedby = {0},
  pages = {224-230},
  booktitle = {Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA},
  editor = {Todd K. Leen and Thomas G. Dietterich and Volker Tresp},
  publisher = {MIT Press},
}